code: def simulate(
      mu, length=2.0, phi=np.pi / 6.0, dt=0.005, noise_sigma=None
  ):
      T = torch.zeros(())
      velocity = torch.zeros(())
      displacement = torch.zeros(())
      acceleration = (
          torch.tensor(little_g * np.sin(phi))
          - torch.tensor(little_g * np.cos(phi)) * mu
      )
  
      if (
          acceleration.numpy() <= 0.0
      ):  # the box doesn't slide if the friction is too large
          return torch.tensor(
              1.0e5
          )  # return a very large time instead of infinity
  
      while (
          displacement.numpy() < length
      ):  # otherwise slide to the end of the inclined plane
          displacement += velocity * dt
          velocity += acceleration * dt
          T += dt
  
      if noise_sigma is None:
          return T
      else:
          return T + noise_sigma * torch.randn(())
  
file_path: pyro/examples/inclined_plane.py
imports: import argparse
  import numpy
  import torch
  import pyro
  from pyro.distributions import Normal, Uniform
  from pyro.infer import EmpiricalMarginal, Importance
label_desc: Use image node_id 1 for calling a global function with example usage: simulate(mu, length, phi, dt, noise_sigma) and returns: torch, T, unknown